{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:36:41Z","timestamp":1776443801262,"version":"3.51.2"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T00:00:00Z","timestamp":1532390400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Data to Decision Collaborative Research Centre"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc. Netw. Anal. Min."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1007\/s13278-018-0519-9","type":"journal-article","created":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T16:37:25Z","timestamp":1532450245000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study"],"prefix":"10.1007","volume":"8","author":[{"given":"Ahmad Hany","family":"Hossny","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Terry","family":"Moschuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grant","family":"Osborne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lewis","family":"Mitchell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nick","family":"Lothian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,24]]},"reference":[{"issue":"4","key":"519_CR1","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1002\/wics.101","volume":"2","author":"H Abdi","year":"2010","unstructured":"Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433\u2013459","journal-title":"Wiley Interdiscip Rev Comput Stat"},{"issue":"6","key":"519_CR2","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1080\/1369118X.2013.808360","volume":"17","author":"E Anduiza","year":"2014","unstructured":"Anduiza E, Cristancho C, Sabucedo JM (2014) Mobilization through online social networks: the political protest of the indignados in spain. Inf Commun Soc 17(6):750\u2013764","journal-title":"Inf Commun Soc"},{"key":"519_CR3","doi-asserted-by":"crossref","unstructured":"Azzam A, Tazi N, Hossny A (2017) A question routing technique using deep neural network for communities of question answering. In: International conference on database systems for advanced applications. Springer, New York, pp 35\u201349","DOI":"10.1007\/978-3-319-55753-3_3"},{"issue":"1","key":"519_CR4","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/MSP.2008.4408441","volume":"25","author":"B Blankertz","year":"2008","unstructured":"Blankertz B, Tomioka R, Lemm S, Kawanabe M, Muller KR (2008) Optimizing spatial filters for robust eeg single-trial analysis. IEEE Signal Process Mag 25(1):41\u201356","journal-title":"IEEE Signal Process Mag"},{"issue":"Jan","key":"519_CR5","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mac Learn Res 3(Jan):993\u20131022","journal-title":"J Mac Learn Res"},{"issue":"20","key":"519_CR6","doi-asserted-by":"publisher","first-page":"6563","DOI":"10.1021\/ac050616c","volume":"77","author":"ZP Chen","year":"2005","unstructured":"Chen ZP, Morris J, Martin E, Hammond RB, Lai X, Ma C, Purba E, Roberts KJ, Bytheway R (2005) Enhancing the signal-to-noise ratio of X-ray diffraction profiles by smoothed principal component analysis. Anal Chem 77(20):6563\u20136570","journal-title":"Anal Chem"},{"issue":"3","key":"519_CR7","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","volume":"36","author":"P Comon","year":"1994","unstructured":"Comon P (1994) Independent component analysis, a new concept? Signal Process 36(3):287\u2013314","journal-title":"Signal Process"},{"key":"519_CR8","doi-asserted-by":"publisher","DOI":"10.1201\/b15326","volume-title":"Statistical analysis of spatial and spatio-temporal point patterns","author":"PJ Diggle","year":"2013","unstructured":"Diggle PJ (2013) Statistical analysis of spatial and spatio-temporal point patterns. CRC Press, Boca Raton"},{"issue":"1","key":"519_CR9","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1002\/aris.1440380105","volume":"38","author":"ST Dumais","year":"2004","unstructured":"Dumais ST (2004) Latent semantic analysis. Annu Rev Inf Sci Technol 38(1):188\u2013230","journal-title":"Annu Rev Inf Sci Technol"},{"issue":"6","key":"519_CR10","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1002\/wcs.1254","volume":"4","author":"NE Evangelopoulos","year":"2013","unstructured":"Evangelopoulos NE (2013) Latent semantic analysis. Wiley Interdiscip Rev Cogn Sci 4(6):683\u2013692","journal-title":"Wiley Interdiscip Rev Cogn Sci"},{"key":"519_CR11","doi-asserted-by":"publisher","unstructured":"Ewerbring L, Luk FT (1989) Canonical correlations and generalized SVD: applications and new algorithms. J Comput Appl Math 27(1):37\u201352. \n                    https:\/\/doi.org\/10.1016\/0377-0427(89)90360-9\n                    \n                  \n                           (Special Issue on Parallel Algorithms for Numerical Linear Algebra)","DOI":"10.1016\/0377-0427(89)90360-9"},{"key":"519_CR12","doi-asserted-by":"publisher","unstructured":"Eysenbach G (2011) Can tweets predict citations? Metrics of social impact based on twitter and correlation with traditional metrics of scientific impact. J Med Internet Res 13(4):e123. \n                    https:\/\/doi.org\/10.2196\/jmir.2012\n                    \n                  , \n                    http:\/\/www.jmir.org\/2011\/4\/e123\/","DOI":"10.2196\/jmir.2012"},{"key":"519_CR13","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez J, Guti\u00e9rrez Y, G\u00f3mez JM, Mart\u0131nez-Barco P (2014) Gplsi: supervised sentiment analysis in twitter using skipgrams. In: Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), number SemEval, pp 294\u2013299","DOI":"10.3115\/v1\/S14-2048"},{"key":"519_CR14","unstructured":"Fung GPC, Yu JX, Yu PS, Lu H (2005) Parameter free bursty events detection in text streams. In: Proceedings of the 31st international conference on very large data bases, VLDB \u201905. VLDB Endowment, pp 181\u2013192. \n                    http:\/\/dl.acm.org\/citation.cfm?id=1083592.1083616"},{"issue":"5","key":"519_CR15","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/BF02163027","volume":"14","author":"GH Golub","year":"1970","unstructured":"Golub GH, Reinsch C (1970) Singular value decomposition and least squares solutions. Numer Math 14(5):403\u2013420","journal-title":"Numer Math"},{"key":"519_CR16","doi-asserted-by":"publisher","unstructured":"Gonzlez-Bailn S, Wang N (2016) Networked discontent: the anatomy of protest campaigns in social media. Soc Netw 44:95\u2013104. \n                    https:\/\/doi.org\/10.1016\/j.socnet.2015.07.003\n                    \n                  , \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378873315000659","DOI":"10.1016\/j.socnet.2015.07.003"},{"issue":"2","key":"519_CR17","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1007\/s12555-015-0196-7","volume":"15","author":"M Hamadache","year":"2017","unstructured":"Hamadache M, Lee D (2017) Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: application to ball bearing fault detection. Int J Control Autom Syst 15(2):506\u2013517","journal-title":"Int J Control Autom Syst"},{"key":"519_CR18","unstructured":"Hoffman M, Bach FR, Blei DM (2010) Online learning for latent Dirichlet allocation. In: advances in neural information processing systems, pp 856\u2013864"},{"key":"519_CR19","unstructured":"Hossny A, Shaalan K, Fahmy A (2008) Automatic morphological rule induction for Arabic. In: Proceedings of the LREC08 workshop on HLT & NLP within the Arabic world: Arabic language and local languages processing: status updates and prospects, pp 97\u2013101"},{"key":"519_CR20","doi-asserted-by":"crossref","unstructured":"Hossny A, Shaalan K, Fahmy A (2009) Machine translation model using inductive logic programming. In: International conference on natural language processing and knowledge engineering, 2009. NLP-KE 2009. IEEE, pp 1\u20138","DOI":"10.1109\/NLPKE.2009.5313850"},{"issue":"4","key":"519_CR21","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","volume":"13","author":"A Hyv\u00e4rinen","year":"2000","unstructured":"Hyv\u00e4rinen A, Oja E (2000) Independent component analysis: algorithms and applications. Neural Netw 13(4):411\u2013430","journal-title":"Neural Netw"},{"key":"519_CR22","volume-title":"Independent component analysis","author":"A Hyv\u00e4rinen","year":"2004","unstructured":"Hyv\u00e4rinen A, Karhunen J, Oja E (2004) Independent component analysis, vol 46. Wiley, New York"},{"issue":"11","key":"519_CR23","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1109\/TPAMI.2013.88","volume":"35","author":"Z Jiang","year":"2013","unstructured":"Jiang Z, Lin Z, Davis LS (2013) Label consistent k-svd: learning a discriminative dictionary for recognition. IEEE Trans Pattern Anal Mach Intell 35(11):2651\u20132664","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"519_CR24","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1109\/TAC.1980.1102314","volume":"25","author":"V Klema","year":"1980","unstructured":"Klema V, Laub A (1980) The singular value decomposition: its computation and some applications. IEEE Trans Autom Control 25(2):164\u2013176","journal-title":"IEEE Trans Autom Control"},{"issue":"1","key":"519_CR25","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.isprsjprs.2008.06.004","volume":"64","author":"N Koutsias","year":"2009","unstructured":"Koutsias N, Mallinis G, Karteris M (2009) A forward\/backward principal component analysis of landsat-7 etm+ data to enhance the spectral signal of burnt surfaces. ISPRS J Photogramm Remote Sens 64(1):37\u201346","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"519_CR26","doi-asserted-by":"crossref","unstructured":"Landauer TK (2006) Latent semantic analysis. Wiley Online Library","DOI":"10.1002\/0470018860.s00561"},{"key":"519_CR27","doi-asserted-by":"crossref","unstructured":"Lange K (2010) Singular value decomposition. Numerical analysis for statisticians, pp 129\u2013142","DOI":"10.1007\/978-1-4419-5945-4_9"},{"key":"519_CR28","doi-asserted-by":"publisher","unstructured":"Lee FL, Chan JM (2015) Digital media use and participation leadership in social protests: the case of Tiananmen commemoration in Hong Kong. Telemat Inform 32(4):879\u2013889. \n                    https:\/\/doi.org\/10.1016\/j.tele.2015.04.013\n                    \n                  , \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0736585315000441","DOI":"10.1016\/j.tele.2015.04.013"},{"key":"519_CR29","doi-asserted-by":"crossref","unstructured":"Li C, Sun A, Datta A (2012) Twevent: segment-based event detection from tweets. In: Proceedings of the 21st ACM international conference on information and knowledge management. ACM, pp 155\u2013164","DOI":"10.1145\/2396761.2396785"},{"key":"519_CR30","doi-asserted-by":"publisher","unstructured":"Loper E, Bird S (2002) Nltk: the natural language toolkit. In: Proceedings of the ACL-02 workshop on effective tools and methodologies for teaching natural language processing and computational linguistics, vol 1, ETMTNLP \u201902. Association for Computational Linguistics, Stroudsburg, pp 63\u201370. \n                    https:\/\/doi.org\/10.3115\/1118108.1118117","DOI":"10.3115\/1118108.1118117"},{"issue":"2","key":"519_CR31","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/TBME.2010.2082539","volume":"58","author":"F Lotte","year":"2011","unstructured":"Lotte F, Guan C (2011) Regularizing common spatial patterns to improve bci designs: unified theory and new algorithms. IEEE Trans Biomed Eng 58(2):355\u2013362","journal-title":"IEEE Trans Biomed Eng"},{"key":"519_CR32","unstructured":"Mart\u0131nez-C\u00e1mara E, Guti\u00e9rrez-V\u00e1zquez Y, Fern\u00e1ndez J, Montejo-R\u00e1ez A, Munoz-Guillena R (2015) Ensemble classifier for twitter sentiment analysis"},{"key":"519_CR33","doi-asserted-by":"publisher","unstructured":"Mathioudakis M, Koudas N (2010) Twittermonitor: trend detection over the twitter stream. In: Proceedings of the 2010 ACM SIGMOD international conference on management of data, SIGMOD \u201910. ACM, New York, pp 1155\u20131158. \n                    https:\/\/doi.org\/10.1145\/1807167.1807306","DOI":"10.1145\/1807167.1807306"},{"key":"519_CR34","unstructured":"Petrovi\u0107 S, Osborne M, Lavrenko V (2010) Streaming first story detection with application to twitter. In: Human language technologies: the 2010 annual conference of the North American Chapter of the Association for Computational Linguistics, HLT \u201910. Association for Computational Linguistics, Stroudsburg, pp 181\u2013189. \n                    http:\/\/dl.acm.org\/citation.cfm?id=1857999.1858020"},{"key":"519_CR35","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.micron.2017.02.001","volume":"96","author":"P Potapov","year":"2017","unstructured":"Potapov P, Longo P, Okunishi E (2017) Enhancement of noisy edx hrstem spectrum-images by combination of filtering and pca. Micron 96:29\u201337","journal-title":"Micron"},{"issue":"4","key":"519_CR36","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/86.895946","volume":"8","author":"H Ramoser","year":"2000","unstructured":"Ramoser H, Muller-Gerking J, Pfurtscheller G (2000) Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Trans Rehabil Eng 8(4):441\u2013446","journal-title":"IEEE Trans Rehabil Eng"},{"issue":"5","key":"519_CR37","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1016\/j.ipm.2016.04.003","volume":"52","author":"F Riquelme","year":"2016","unstructured":"Riquelme F, Gonzlez-Cantergiani P (2016) Measuring user influence on twitter: a survey. Inf Process Manag 52(5):949\u2013975. \n                    https:\/\/doi.org\/10.1016\/j.ipm.2016.04.003","journal-title":"Inf Process Manag"},{"key":"519_CR38","doi-asserted-by":"crossref","unstructured":"Sasaki K, Yoshikawa T, Furuhashi T (2014) Online topic model for twitter considering dynamics of user interests and topic trends. In: EMNLP, pp 1977\u20131985","DOI":"10.3115\/v1\/D14-1212"},{"key":"519_CR39","unstructured":"Shlens J (2014) A tutorial on principal component analysis. \n                    arXiv:1404.1100"},{"key":"519_CR40","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.jneumeth.2014.11.015","volume":"241","author":"DA Soltysik","year":"2015","unstructured":"Soltysik DA, Thomasson D, Rajan S, Biassou N (2015) Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based FMRI. J Neurosci Methods 241:18\u201329. \n                    https:\/\/doi.org\/10.1016\/j.jneumeth.2014.11.015","journal-title":"J Neurosci Methods"},{"key":"519_CR41","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.ultramic.2016.10.008","volume":"172","author":"J Spiegelberg","year":"2017","unstructured":"Spiegelberg J, Rusz J (2017) Can we use PCA to detect small signals in noisy data? Ultramicroscopy 172:40\u201346. \n                    https:\/\/doi.org\/10.1016\/j.ultramic.2016.10.008","journal-title":"Ultramicroscopy"},{"issue":"5","key":"519_CR42","doi-asserted-by":"publisher","first-page":"1663","DOI":"10.1016\/j.patcog.2007.10.023","volume":"41","author":"S Sun","year":"2008","unstructured":"Sun S, Zhang C, Lu Y (2008) The random electrode selection ensemble for eeg signal classification. Pattern Recognit 41(5):1663\u20131675","journal-title":"Pattern Recognit"},{"issue":"2","key":"519_CR43","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1111\/j.1460-2466.2012.01629.x","volume":"62","author":"Z Tufekci","year":"2012","unstructured":"Tufekci Z, Wilson C (2012) Social media and the decision to participate in political protest: observations from Tahrir Square. J Commun 62(2):363\u2013379","journal-title":"J Commun"},{"issue":"7","key":"519_CR44","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1177\/0002764213479375","volume":"57","author":"S Valenzuela","year":"2013","unstructured":"Valenzuela S (2013) Unpacking the use of social media for protest behavior: the roles of information, opinion expression, and activism. Am Behav Sci 57(7):920\u2013942","journal-title":"Am Behav Sci"},{"key":"519_CR45","first-page":"91","volume-title":"Singular value decomposition and principal component analysis","author":"ME Wall","year":"2003","unstructured":"Wall ME, Rechtsteiner A, Rocha LM (2003) Singular value decomposition and principal component analysis. Springer US, Boston, pp 91\u2013109"},{"key":"519_CR46","doi-asserted-by":"crossref","unstructured":"Wang X, Gerber MS, Brown DE (2012) Automatic crime prediction using events extracted from twitter posts. In: International conference on social computing, behavioral-cultural modeling, and prediction. Springer, New York, pp 231\u2013238","DOI":"10.1007\/978-3-642-29047-3_28"},{"issue":"1\u20133","key":"519_CR47","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold S, Esbensen K, Geladi P (1987) Principal component analysis. Chemom Intell Lab Syst 2(1\u20133):37\u201352","journal-title":"Chemom Intell Lab Syst"},{"issue":"3","key":"519_CR48","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1016\/j.ijleo.2013.09.013","volume":"125","author":"X Yu","year":"2014","unstructured":"Yu X, Chum P, Sim KB (2014) Analysis the effect of PCA for feature reduction in non-stationary EEG based motor imagery of BCI system. Optik 125(3):1498\u20131502","journal-title":"Optik"}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13278-018-0519-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-018-0519-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-018-0519-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T19:21:09Z","timestamp":1563909669000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13278-018-0519-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,24]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["519"],"URL":"https:\/\/doi.org\/10.1007\/s13278-018-0519-9","relation":{},"ISSN":["1869-5450","1869-5469"],"issn-type":[{"value":"1869-5450","type":"print"},{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,24]]},"assertion":[{"value":"8 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"49"}}